Data Scientist: AI & Analytics for Insurance Growth (Remote)

Keskinäinen Työeläkevakuutusyhtiö Elo; Espoo; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Flexible remote work

Well-being programs

Competitive benefits

Job summary

Keskinäinen Työeläkevakuutusyhtiö Elo seeks a Data Scientist for the Customer Analytics team to blend data, analytics, AI, and business strategy. You will work on customer acquisition, care, and decision-support, leveraging Azure, Fabric, and Databricks to deliver production-ready analytics applications.

The role emphasizes collaboration with business partners, data engineers, and architects, and requires a strong ML background, Python skills, and the ability to communicate insights clearly.

Qualifications

• Master's degree in a relevant field.
• Experience in data scientist roles.
• Experience with analytics cloud environments (Azure, Fabric, Databricks).
• Strong Python skills.
• Experience with ML models and AI.
• Experience with visualization/analytics tools like Power BI or Streamlit.
• Good collaboration and ability to communicate results of analyses and models.
• Proactive, self-directed, and active way of working.

Responsibilities

• Analyze data, make forecasts, develop machine learning models and AI solutions.
• Visualize results and build analytics applications.
• Collaborate with business, data engineers and architects and participate in design of new data and AI solutions.
• Transform business needs into production-ready solutions and own full lifecycle of solutions.

Skills

Python

Machine learning

AI concepts

Education

Master's degree

Tools

Azure

Fabric

Databricks

Power BI

Streamlit

Job description

Keskinäinen Työeläkevakuutusyhtiö Elo seeks a Data Scientist for the Customer Analytics team to blend data, analytics, AI, and business strategy. You will work on customer acquisition, care, and decision-support, leveraging Azure, Fabric, and Databricks to deliver production-ready analytics applications.

The role emphasizes collaboration with business partners, data engineers, and architects, and requires a strong ML background, Python skills, and the ability to communicate insights clearly.